Triple
T35134657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Santa Maria Immacolata a Via Veneto |
E1014535
|
entity |
| Predicate | cemeteryFunction |
P182318
|
FINISHED |
| Object | ossuary |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ossuary | Statement: [Church of Santa Maria Immacolata a Via Veneto, cemeteryFunction, ossuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cemeteryFunction Context triple: [Church of Santa Maria Immacolata a Via Veneto, cemeteryFunction, ossuary]
-
A.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
-
B.
cemeteryOpened
Indicates that a cemetery began operating or was officially opened at a specific time.
-
C.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
D.
cemeterySection
Indicates that one entity is a specific section, area, or subdivision within a cemetery associated with the other entity.
-
E.
cemeteryArea
Indicates that an area or region is designated, used, or recognized as a cemetery.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.